Arjun D. Desai

22 papers A* 3Misc 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis.
CoRR
Adrit Rao, Malte E. K. Jensen, Andrea Fisher, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Seth Lirette, Eren Alkan, Felipe C. Kitamura, Juan Manuel Zambrano Chaves, Eduardo Pontes Reis, Arjun D. Desai, Marc H. Willis, Jason Hom, Andrew Johnston, Leon Lenchik, Robert D. Boutin, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Marcelo Straus Takahashi, Jordan Perchik, Steven Rothenberg, Jamie Lee Schroeder, Ross W. Filice, Leonardo Kayat Bittencourt, Hari Trivedi, Marly van Assen, John Mongan, Kimberly Kallianos, Oliver O. Aalami, Akshay S. Chaudhari
2025 A* conf
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions.
ICML
Onat Dalmaz, Arjun D. Desai, Reinhard Heckel, Tolga Çukur, Akshay S. Chaudhari, Brian A. Hargreaves
2025 J jnl
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions.
CoRR
Onat Dalmaz, Arjun D. Desai, Reinhard Heckel, Tolga Çukur, Akshay S. Chaudhari, Brian A. Hargreaves
2024 A* conf
Prospector Heads: Generalized Feature Attribution for Large Models & Data.
ICML
Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2024 J jnl
Prospector Heads: Generalized Feature Attribution for Large Models & Data.
CoRR
Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2023 J jnl
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography.
CoRR
Louis Blankemeier, Arjun D. Desai, Juan Manuel Zambrano Chaves, Andrew Wentland, Sally Yao, Eduardo Pontes Reis, Malte E. K. Jensen, Bhanushree Bahl, Khushboo Arora, Bhavik N. Patel, Leon Lenchik, Marc H. Willis, Robert D. Boutin, Akshay S. Chaudhari
2023 J jnl
Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation.
CoRR
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, Stefan Sommer, Christoph Stuprich, Fengdan Wang, Claudia Weidensteiner, Giulia Manco, Matteo Paoletti, Valentina Mazzoli, Arjun D. Desai, Anna Pichiecchio
2022 J jnl
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning.
CoRR
Jeffrey Dominic, Nandita Bhaskhar, Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Beliz Gunel, Garry E. Gold, Brian A. Hargreaves, Leon Lenchik, Robert Boutin, Akshay S. Chaudhari
2022 J jnl
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction.
CoRR
Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci
2022 A* conf
Monarch: Expressive Structured Matrices for Efficient and Accurate Training.
ICML
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
2022 J jnl
Monarch: Expressive Structured Matrices for Efficient and Accurate Training.
CoRR
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
2022 J jnl
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.
CoRR
Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay S. Chaudhari
2022 J jnl
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks.
CoRR
Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari
2022 — conf
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
MICCAI (6)
Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022 J jnl
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
CoRR
Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022 — conf
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction.
MIDL
Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2021 J jnl
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising.
CoRR
Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2021 — conf
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.
NeurIPS Datasets and Benchmarks
Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari
2020 J jnl
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR
Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari
2020 Misc conf
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery.
AMIA
Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung
2020 J jnl
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery.
CoRR
Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung
2019 J jnl
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks.
CoRR
Arjun D. Desai, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari